Design of Intelligence Gathering Model: A Semantic Web Based Approach

Abstract

 Intelligence information gathering, investigation and analysis are vital components of security management
in any given society. The ability to know what, where and when events occur is a key element of investigation
process especially in a large dataset. This is a thematic, spatial and temporal (TST) reporting issue. Semantic
Web technologies such as Resource Description Framework (RDF), Resource Description Framework
Schema (RDFS) and Web Ontology Language (OWL) have been discovered to be a good approach to solving
this problem. In this study, the researchers proposed a semantic web based intelligence gathering model for
TST using OWL ontology, which has more expressive constructs than RDF. The study further demonstrated
the use of Semantic Query-enhanced Web Rule Language (SQWRL), Semantic Web Rule Language (SWRL),
Jess and OWL APIs for ontology reasoning and inferences. The model presents university ontology, which
could be applied in implementing security intelligence gathering in university community. Thus, this paper
established the possibility of gathering intelligence information that satisfied TST through semantic web
based tools.